Course Catalog

Cohort-based courses with hardware in your hands.

Every hands-on course ships a physical lab kit to your door. Syllabi below are the real thing — no slideware weeks.

AI & AgentsAdvanced

Mastering Enterprise AI Agents & Multi-Agent Swarms

Design, orchestrate, and deploy robust multi-agent systems with hierarchical memory, tool-calling sandboxes, and deterministic evaluation benchmarks.

$1,850
Reserve a seat
8 weeks Cohort-based 4.9 2,840 enrolled
Week-by-week syllabus
  1. Weeks 1–2
    Agentic architectures & cognitive loops
    ReAct, Plan-and-Solve, Reflexion patterns, and prompt grounding strategies.
  2. Weeks 3–4
    Tool sandboxing & execution environments
    Safe Python execution, Docker-based code runners, API authentication brokers.
  3. Weeks 5–6
    Multi-agent swarm orchestration
    LangGraph, AutoGen, hierarchical supervisor models, consensus protocols.
  4. Weeks 7–8
    Production deployments & evaluation
    RAG Triad metrics, latency optimization with vLLM, continuous monitoring.
Prerequisites
  • · Python 3.10+
  • · Basic LangChain / LLM familiarity
  • · Git & Docker basics
Embedded & SBCIntermediate

Edge AI & Embedded ML with Single Board Computers

Program real-time computer vision and speech models on Raspberry Pi 5, Coral Edge TPU, and NVIDIA Jetson Orin Nano — with a physical hardware kit shipped to your door.

$2,400
Reserve a seat
10 weeks Hands-on lab 4.95 1,920 enrolled

🧰 Includes the Moomoth SBC Lab Kit (Raspberry Pi 5 8GB + Coral USB Accelerator + HD camera module).

Week-by-week syllabus
  1. Weeks 1–2
    Embedded Linux & SBC hardware architecture
    GPIO interfacing, kernel modules, power budgeting, thermal throttling management.
  2. Weeks 3–4
    Quantization & model compression
    Post-training INT8 quantization, pruning, TensorRT compilation, ONNX Runtime.
  3. Weeks 5–6
    Real-time edge computer vision
    YOLOv8/v10 optimization, camera pipeline acceleration using GStreamer and V4L2.
  4. Weeks 7–8
    Coral TPU & Jetson CUDA programming
    Custom hardware pipelines, DMA memory transfer, sub-5 ms latency inference.
  5. Weeks 9–10
    Industrial fleet management & OTA
    Balena/Mender deployment, zero-touch provisioning, secure watchdog restarts.
Prerequisites
  • · C/C++ or Python
  • · Basic Linux command line
  • · Elementary linear algebra
Systems ProgrammingAdvanced

High-Performance Systems & Firmware Engineering in Rust

Memory-safe bare-metal programming, low-overhead microservices, and asynchronous networking engines capable of 1M+ requests per second.

$1,650
Reserve a seat
6 weeks Cohort-based 4.88 1,450 enrolled
Week-by-week syllabus
  1. Weeks 1–2
    Memory safety, lifetimes & the borrow checker
    Zero-cost abstractions, RAII, custom memory allocators.
  2. Weeks 3–4
    Async Rust with Tokio & high-throughput I/O
    Actor patterns, lock-free queues, zero-copy deserialization with Serde.
  3. Weeks 5–6
    Embedded no_std programming on microcontrollers
    Flashing STM32 and RP2040, DMA transfers, interrupt service routines.
Prerequisites
  • · Experience in C, C++, Go, or Java
  • · Understanding of concurrency concepts
CybersecurityAdvanced

Hardware Hacking, Firmware Extraction & Silicon Security

Hardware-level penetration testing, UART/JTAG debugging, SPI flash dumping, glitching attacks, and implementing unassailable secure boot.

$2,800
Reserve a seat
6 weeks Hands-on lab 4.92 980 enrolled

🧰 Includes the hardware pentesting kit (Bus Pirate, logic analyzer, flash clip, test PCBs).

Week-by-week syllabus
  1. Weeks 1–2
    Physical reconnaissance & hardware interfaces
    Identifying debug headers, sniffing I2C/SPI buses, probing test points.
  2. Weeks 3–4
    Firmware extraction & binary decompilation
    Dumping SPI/eMMC chips, unpacking file systems, Ghidra static analysis.
  3. Weeks 5–6
    Voltage glitching & hardening defenses
    Bypassing signature checks, configuring TPM 2.0, eFuses, and encrypted rootfs.
Prerequisites
  • · Basic electronics knowledge
  • · Reverse engineering basics with Ghidra/GDB
Executive TechExecutive

Executive AI Masterclass: ROI, Governance & Turnkey Strategy

Designed exclusively for CTOs, VPs of Engineering, and tech founders. Evaluate build-vs-buy decisions, calculate CapEx/OpEx, ensure IP defense, and avoid AI slop.

$3,200
Reserve a seat
2 weeks intensive Executive masterclass 4.98 1,890 enrolled
Week-by-week syllabus
  1. Module 1
    The real economics of enterprise AI
    GPU pricing, inference token economics, proprietary data valuation, vendor lock-in risks.
  2. Module 2
    Architectural blueprints for 2026+
    Edge vs cloud AI, hybrid SLMs, autonomous agents in customer workflows.
  3. Module 3
    Governance, liability & IP protection
    EU AI Act compliance, copyright indemnification, zero-data-retention audits.
  4. Module 4
    Turnkey R&D execution frameworks
    Structuring high-velocity skunkworks teams, measuring AI velocity metrics.
Prerequisites
  • · Engineering leadership or executive role
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